Senior Banking Data Platform Architect

Unison Group; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

Unison Group is seeking a Data Architect with 10+ years in data, including 4+ years in banking, and hands-on data engineering experience. You will design enterprise data platforms across data warehouse, data lake and lakehouse architectures, and lead architecture reviews with governance and regulatory focus.

The role requires expertise in Teradata, Hadoop/Spark ecosystems, SQL, and data integration technologies, with strong emphasis on lineage, data quality and semantic layers.

Qualifications

• 10+ years in data, including 4+ years in banking
• Hands-on data engineering background
• Experience with data platform design inside large banks
• Familiarity with BCBS 239 standards for lineage, reconciliation and audit
• Knowledge of data architecture and modelling techniques
• Experience with data lakes, warehouses, lakehouse and data fabrics
• Understanding of data governance and metadata frameworks
• Experience with streaming/integration tooling like Kafka and Spark

Responsibilities

• Run design authority forums and review engineers' designs and code
• Write design specifications that pass architecture, audit and regulatory review

Skills

Data platform design

Banking data models

BCBS 239 compliance

Data architecture

Data modelling

Historical data design

Data-as-a-service patterns

Metadata & data quality

Streaming data processing

Data governance

Tools

Teradata

Hadoop

Cloudera

Spark

Python

R

SQL

Hive

Impala

HBase

Pig

Hue

Iceberg

Trino

Kafka

Informatica

Talend

Denodo

Snowflake

Databricks

Kubernetes

Job description

Unison Group is seeking a Data Architect with 10+ years in data, including 4+ years in banking, and hands-on data engineering experience. You will design enterprise data platforms across data warehouse, data lake and lakehouse architectures, and lead architecture reviews with governance and regulatory focus.

The role requires expertise in Teradata, Hadoop/Spark ecosystems, SQL, and data integration technologies, with strong emphasis on lineage, data quality and semantic layers.